Static Synchronous Compensator (STATCOM) and Static VAR Compensators (SVCs) -based neural network controllers for improving power system grid-Reference-Cited by-同舟云学术

Static Synchronous Compensator (STATCOM) and Static VAR Compensators (SVCs) -based neural network controllers for improving power system grid

Published:2024-03-20 Issue:1 Volume:12 Page:247-252
ISSN:2347-470X
Container-title:International Journal of Electrical and Electronics Research
language:en
Short-container-title:IJEER

Author:

Ahmed Raghad Hameed¹,Nouri Ahmed Said²

Affiliation:

1. Middle Technical Unversity, Iraq

2. National Engineering School of Sfax - Sfax University, Lab CONPRI-Gabes

Abstract

The stability of the electrical network is considered a major challenge in the development of energy systems based on various sources. This research provides a comparison of the dynamic performance of FACTS devices such as STATCOM and SVC. These techniques, which are integrated stability devices with a multi-source power system, are used. The neural network technology unit is used to control FACTS devices to enhance the performance of power sources under abnormal and different conditions. Testing is conducted under conditions of three-phase short circuit to ground at bus (3) in the system. MATLAB/Simulink is used for modeling and simulation. The obtained results demonstrate the impact of the control unit based on SVC and STATCOM in reducing system oscillations and improving dynamic system performance during the post-fault period. The comparison confirms the superior dynamic performance and quick fault recovery of the control unit.

Publisher

FOREX Publication

Reference5 articles.

1. “Artificial, N. N. B. O. N. Strength, and Estimation, “Power system stabilization using adaptive neural network-based dynamic surface control,” IEEE Trans. Power Syst., vol. 26, no. 2, pp. 669–680, 2010. DOI: 10.1109/TPWRS.2010.2059717.

2. A. A. Island and M. G. GebreMichael, “Distribution Network Optimization by Optimal Sizing and Placement of D-STATCOM using Teaching and Learning Based Optimization Algorithm,” in 2021 IEEE Southern Power Electronics Conference (SPEC), 2021, pp. 1–8. DOI: 10.1109/SPEC52827.2021.9709447.

3. D. Lijie, L. Yang, and M. Yiqun, “Comparison of high capacity SVC and STATCOM in real power grid,” in 2010 International Conference on Intelligent Computation Technology and Automation, 2010, vol. 1, pp. 993–997. DOI: 10.1109/ICICTA.2010.586 .

4. X.-P. Zhang, C. Rehtanz, and B. Pal, Flexible AC transmission systems: modelling and control. Springer Science & Business Media, 2012. DOI:10.1007/978-3-642-28241-6.

5. N. B. Kadandani and Y. A. Maiwada, “An overview of facts controllers for power quality improvement,” Int. J. En. Sci., vol. 4, no. 9, pp. 9–17, 2015. DOI:10.31142/ijtsrd7139.